Use new lakefs python SDK #284
Workflow file for this run
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| name: Provider | |
| on: | |
| pull_request: | |
| push: | |
| branches: | |
| - main | |
| jobs: | |
| build-provider: | |
| name: build latest provider | |
| runs-on: ubuntu-latest | |
| env: | |
| KEY: "AKIAIOSFODNN7EXAMPLE" | |
| SECRET: "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY" | |
| services: | |
| lakefs: | |
| image: treeverse/lakefs:latest | |
| env: | |
| LAKEFS_AUTH_ENCRYPT_SECRET_KEY: "some random secret string" | |
| LAKEFS_DATABASE_TYPE: local | |
| LAKEFS_BLOCKSTORE_TYPE: local | |
| LAKEFS_GATEWAYS_S3_DOMAIN_NAME: s3.local.lakefs.io:8000 | |
| LAKEFS_LOGGING_LEVEL: TRACE | |
| LAKEFS_STATS_ENABLED: false | |
| LAKEFS_INSTALLATION_USER_NAME: docker | |
| LAKEFS_INSTALLATION_ACCESS_KEY_ID: ${{ env.KEY }} | |
| LAKEFS_INSTALLATION_SECRET_ACCESS_KEY: ${{ env.SECRET }} | |
| LAKECTL_SERVER_ENDPOINT_URL: http://localhost:8000 | |
| LAKECTL_CREDENTIALS_ACCESS_KEY_ID: $${ env.Key }} | |
| LAKECTL_CREDENTIALS_SECRET_ACCESS_KEY: $${ env.SECRET }} | |
| ports: | |
| - 8000:8000 | |
| options: >- | |
| --name lakefs | |
| --health-cmd "curl --fail -LI http://localhost:8000/_health" | |
| --health-interval 10s | |
| --health-timeout 5s | |
| --health-retries 5 | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v4 | |
| - name: Install requirements | |
| run: pip install -r requirements.txt | |
| - name: Build package | |
| run: | | |
| python3 -m pip install build | |
| python3 -m build | |
| - name: Install astro | |
| run: curl -sSL https://install.astronomer.io | sudo bash -s -- 0.28.1 | |
| - name: Create astro dev env | |
| run: mkdir astro && cd astro && astro dev init | |
| - name: Copy files | |
| run: | | |
| cp -R ./dist/ astro/ | |
| cp ./lakefs_provider/example_dags/lakefs-dag.py astro/dags/ | |
| - name: Insert Dockerfile pip install | |
| run: printf "\nRUN pip install --user dist/airflow_provider_lakefs-*-py3-none-any.whl" >> astro/Dockerfile | |
| - name: Start astro | |
| working-directory: astro | |
| run: astro dev start | |
| - name: Create test repo | |
| run: | | |
| curl -u '${{ env.KEY }}:${{ env.SECRET }}' -H 'Content-Type: application/json' -X POST --data '{"name":"example-repo","storage_namespace":"local://data/"}' 'http://localhost:8000/api/v1/repositories' | |
| - name: Run lakeFS DAG | |
| working-directory: astro | |
| run: | | |
| astro dev run connections add conn_lakefs --conn-type=HTTP --conn-host=http://172.17.0.1:8000 --conn-login="${{ env.KEY }}" --conn-password="${{ env.SECRET }}" | |
| astro dev run dags unpause lakeFS_workflow | |
| astro dev run dags trigger lakeFS_workflow | |
| sleep 30 | |
| - name : Run DAG state check script | |
| id : dag_status_id | |
| run: python3 dag_status.py | |
| - name: Wait until Airflow makes output file available on main | |
| env: | |
| # To avoid the lack of region - see https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-envvars.html | |
| AWS_EC2_METADATA_DISABLED: true | |
| uses: nick-invision/retry@v2 | |
| with: | |
| timeout_minutes: 3 | |
| max_attempts: 30 | |
| command: AWS_ACCESS_KEY_ID=${{ env.KEY }} AWS_SECRET_ACCESS_KEY=${{ env.SECRET }} aws s3 cp --endpoint-url=http://s3.local.lakefs.io:8000 s3://example-repo/main/path/to/_SUCCESS - | |
| - name: Wait symlink file creation and validate it | |
| env: | |
| AWS_EC2_METADATA_DISABLED: true | |
| uses: nick-invision/retry@v2 | |
| with: | |
| timeout_minutes: 3 | |
| max_attempts: 30 | |
| command: docker exec lakefs ls lakefs/data/block/data/symlinks/example-repo/example-branch/path/to/symlink.txt | |
| - name: airflow scheduler logs | |
| if: ${{ always() }} | |
| working-directory: astro | |
| run: astro dev logs --scheduler | |
| - name: airflow triggerer logs | |
| if: ${{ always() }} | |
| working-directory: astro | |
| run: astro dev logs --triggerer |